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Kakiuchi, Tsutomu
After the camera calibration for the right and left image, the
video theodolite tracked the test model was slowly moving
to left side. Stereo image A2 was taken at +500mm. The
changing values of the test model on the actuator were then
controlled through a personal computer. The rotation angles
of the video theodolite were 20 12 47 clockwise, $00 14
under the horizon, thus giving V, 00014 and H,
20 12 47 . Stereo image A3 was taken at -500mm and VV,
,00014, H 275731.
The unknown parameters, "and for each stereo images
Figure 9. Right and Left image
should be estimated as the sum of changing vertical and horizontal values resulting in ‘jand 0 respectively. Here, '$6
and y are the calibration results of the both orientation image. Consequently, "and are calculated as follows using
the changing values in vertical ( V), horizontal direction( ,H) and "p, 0.
à = à, + AV, ô = à, + ÀH, @
However, each stereo image was taken at a different exposure station, due to the discord between the center of the
theodolite and the lens of the CCD 2 camera. Each camera position has to be corrected to respond to the rotation of the
video theodolite by the following equation,
X,= D’ cosV” sin H,)
yf = D‘ os à sinV" sinù cosV” cos (à H,}
Z =D fina sinV” + cosù cos V” cos(ö H,}
zi = (p Z' kosV,
Where, Xp“, Yo”, Zo , corrected camera position, y tnu? In / (p Z 2 D = | X 2 +Yi + (p Zy
4.0 Pre-Experiment Results
G)
Table 3 shows the R.M.S.E. for check points in each stereo image.
Stereo Image A3 A1 A2
Changing Values -500" onm +500™™
Height Difference om" agnum 50™™ grm 207" son" gue 207" 50™™
(mm) 39.462 | +0.421 | +0.462 | +0.381 | +0.401 +0.413 | +0.461 | +0.481 | +0.523
(mm) +4.402 | +4.552 | +4.824 | £3.962 | +4.381 +4.121 | +4.765 | +4.827 | +4.923
Theoretical accuracy; y =+0.416"", z=+4.167 mm
Table 2. R.M.S.E. for check points
Almost the same low accuracy for the Z-coordinate can be found, probably due to the lack of horizontal line, i.e. odd
and even field was utilized in this paper, and the short of baseline of the stereo adapter, but it is concluded that the
stereo vision system is a useful tool in a small inner space.
5 3DSPATIAL DATA ACQUISITION
The remarkable points of the stereo vision system are its ability to
obtain the synchronized stereo image sequences and camera
rotation parameters in reaHime, and 3D modeling for indoor space
became possible. Furthermore, textures for object are
simultaneously taken.
In order to evaluate the utilization of the stereo vision system,
indoor experiment for reconstructing and 3D modeling was
demonstrated.
Figure 10 shows the elevator hall in the Tokyo Denki University
(TDU) used in this investigation.
Reconstructing and 3D modeling procedure are as follows.
Figure 10. Elevator hall in the TDU
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B5. Amsterdam 2000. 417